Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Sadashiv/BERT-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sadashiv/BERT-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Sadashiv/BERT-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Sadashiv/BERT-ner") model = AutoModelForTokenClassification.from_pretrained("Sadashiv/BERT-ner") - Notebooks
- Google Colab
- Kaggle
Training Completed
Browse files
pytorch_model.bin
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runs/Jul21_08-13-59_b31798a51a37/events.out.tfevents.1689927276.b31798a51a37.1201.1
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